DocumentCode
2480161
Title
Identification of Voice Segments in Stereo Soundtracks
Author
Padhi, Kabi Prakash ; Mahapatra, Rabi N.
Author_Institution
Texas A&M Univ., Galveston, TX
fYear
0
fDate
0-0 0
Firstpage
1566
Lastpage
1570
Abstract
While the human auditory system is easily able to distinguish between the voice and the audio components of a soundtrack, this appears to be a significant challenge to any computer model due to the overlap of audio and speech spectrum. The algorithm developed is able to discern the presence of voice in a stereo input with a high degree of accuracy. It is based on time-domain energy criterion, which results in lower computations in comparison to frequency domain techniques
Keywords
audio signal processing; speech processing; time-domain analysis; human auditory system; stereo soundtrack; time-domain energy criterion; voice segment identification; Auditory system; Delay; Frequency domain analysis; Histograms; Humans; Instruments; Parameter estimation; Speech; Time domain analysis; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 2005 Fifth International Conference on
Conference_Location
Bangkok
Print_ISBN
0-7803-9283-3
Type
conf
DOI
10.1109/ICICS.2005.1689322
Filename
1689322
Link To Document